Task 5127394

Name ParityModified-1607233782-3941-106_1
Workunit 3079230
Created 1 May 2021, 17:47:42 UTC
Sent 1 May 2021, 18:26:58 UTC
Report deadline 8 May 2021, 18:26:58 UTC
Received 2 May 2021, 15:36:09 UTC
Server state Over
Outcome Validate error
Client state Done
Exit status 0 (0x00000000)
Computer ID 11140
Run time 43 min 8 sec
CPU time
Validate state Invalid
Credit 0.00
Device peak FLOPS 13,358.80 GFLOPS
Application version Machine Learning Dataset Generator (test) v9.80 (amdrocm)
x86_64-pc-linux-gnu
Peak working set size 1.43 GB
Peak swap size 8.06 GB
Peak disk usage 2.25 GB

Stderr output

<core_client_version>7.16.16</core_client_version>
<![CDATA[
<stderr_txt>
DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__rocm -c --maxepoch 128 
nthreads: 1 gpudev: 0
Re-exec()-ing to set environment correctly
10:52:50 (3399732): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 10 XL/XT [Radeon RX Vega 56/64])
[2021-05-02 10:52:50	                main:442]	:	INFO	:	Set logging level to 1
[2021-05-02 10:52:50	                main:448]	:	INFO	:	Running in BOINC Client mode
[2021-05-02 10:52:50	                main:451]	:	INFO	:	Resolving all filenames
[2021-05-02 10:52:50	                main:459]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-02 10:52:50	                main:459]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-106_1_r1096457179_1 (exists = 0)
[2021-05-02 10:52:50	                main:459]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-106_1_r1096457179_0 (exists = 0)
[2021-05-02 10:52:50	                main:459]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-106 (exists = 1)
[2021-05-02 10:52:50	                main:459]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2021-05-02 10:52:50	                main:479]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-02 10:52:50	                main:481]	:	INFO	:	Configuration: 
[2021-05-02 10:52:50	                main:482]	:	INFO	:	    Model type: GRU
[2021-05-02 10:52:50	                main:483]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-02 10:52:50	                main:484]	:	INFO	:	    Max Epochs: 128
[2021-05-02 10:52:50	                main:485]	:	INFO	:	    Batch Size: 128
[2021-05-02 10:52:50	                main:486]	:	INFO	:	    Learning Rate: 0.01
[2021-05-02 10:52:50	                main:487]	:	INFO	:	    Patience: 10
[2021-05-02 10:52:50	                main:488]	:	INFO	:	    Hidden Width: 12
[2021-05-02 10:52:50	                main:489]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-02 10:52:50	                main:490]	:	INFO	:	    # Backend Layers: 4
[2021-05-02 10:52:50	                main:491]	:	INFO	:	    # Threads: 1
[2021-05-02 10:52:50	                main:493]	:	INFO	:	Preparing Dataset
[2021-05-02 10:52:50	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-02 10:52:51	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-02 10:52:51	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-02 10:52:51	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-02 10:52:51	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-02 10:52:52	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-02 10:52:52	                main:501]	:	INFO	:	Creating Model
[2021-05-02 10:52:52	                main:514]	:	INFO	:	Preparing config file
[2021-05-02 10:52:52	                main:526]	:	INFO	:	Creating new config file
[2021-05-02 10:52:52	                main:545]	:	INFO	:	This is a continuation WU, loading previous network
[2021-05-02 10:52:52	                main:566]	:	INFO	:	Loading DataLoader into Memory
[2021-05-02 10:52:52	                main:569]	:	INFO	:	Starting Training
[2021-05-02 10:53:16	                main:581]	:	INFO	:	Epoch 1 | loss: 0.031089 | val_loss: 0.0312427 | Time: 23979.2 ms
[2021-05-02 10:53:35	                main:581]	:	INFO	:	Epoch 2 | loss: 0.03105 | val_loss: 0.031243 | Time: 18887.3 ms
[2021-05-02 10:53:54	                main:581]	:	INFO	:	Epoch 3 | loss: 0.0310274 | val_loss: 0.0312417 | Time: 19078.9 ms
[2021-05-02 10:54:13	                main:581]	:	INFO	:	Epoch 4 | loss: 0.0310219 | val_loss: 0.0312491 | Time: 19279.6 ms
[2021-05-02 10:54:32	                main:581]	:	INFO	:	Epoch 5 | loss: 0.0310178 | val_loss: 0.0312481 | Time: 18868 ms
[2021-05-02 10:54:51	                main:581]	:	INFO	:	Epoch 6 | loss: 0.0310183 | val_loss: 0.0312579 | Time: 18928.7 ms
[2021-05-02 10:55:10	                main:581]	:	INFO	:	Epoch 7 | loss: 0.0310198 | val_loss: 0.0312317 | Time: 18869.3 ms
[2021-05-02 10:55:28	                main:581]	:	INFO	:	Epoch 8 | loss: 0.0310206 | val_loss: 0.0312537 | Time: 18788 ms
[2021-05-02 10:55:47	                main:581]	:	INFO	:	Epoch 9 | loss: 0.0310218 | val_loss: 0.0312494 | Time: 18870.2 ms
[2021-05-02 10:56:06	                main:581]	:	INFO	:	Epoch 10 | loss: 0.0310165 | val_loss: 0.0312464 | Time: 18996.5 ms
[2021-05-02 10:56:25	                main:581]	:	INFO	:	Epoch 11 | loss: 0.0310138 | val_loss: 0.0312587 | Time: 18849 ms
[2021-05-02 10:56:44	                main:581]	:	INFO	:	Epoch 12 | loss: 0.0310206 | val_loss: 0.0312707 | Time: 18850.6 ms
[2021-05-02 10:57:03	                main:581]	:	INFO	:	Epoch 13 | loss: 0.0310204 | val_loss: 0.0312729 | Time: 18930.6 ms
[2021-05-02 10:57:22	                main:581]	:	INFO	:	Epoch 14 | loss: 0.0310334 | val_loss: 0.0312619 | Time: 18785.6 ms
[2021-05-02 10:57:41	                main:581]	:	INFO	:	Epoch 15 | loss: 0.0310356 | val_loss: 0.0312577 | Time: 18924.1 ms
[2021-05-02 10:58:00	                main:581]	:	INFO	:	Epoch 16 | loss: 0.0310275 | val_loss: 0.0312423 | Time: 18956.9 ms
[2021-05-02 10:58:19	                main:581]	:	INFO	:	Epoch 17 | loss: 0.031023 | val_loss: 0.0312479 | Time: 18927.5 ms
[2021-05-02 10:58:37	                main:581]	:	INFO	:	Epoch 18 | loss: 0.0310139 | val_loss: 0.0312501 | Time: 18906 ms
[2021-05-02 10:58:57	                main:581]	:	INFO	:	Epoch 19 | loss: 0.0310146 | val_loss: 0.0312667 | Time: 19075.1 ms
[2021-05-02 10:59:15	                main:581]	:	INFO	:	Epoch 20 | loss: 0.0310129 | val_loss: 0.0312622 | Time: 18639.5 ms
[2021-05-02 10:59:34	                main:581]	:	INFO	:	Epoch 21 | loss: 0.031009 | val_loss: 0.0312604 | Time: 18559.8 ms
[2021-05-02 10:59:52	                main:581]	:	INFO	:	Epoch 22 | loss: 0.0310121 | val_loss: 0.0312516 | Time: 18593.9 ms
[2021-05-02 11:00:11	                main:581]	:	INFO	:	Epoch 23 | loss: 0.0310198 | val_loss: 0.031255 | Time: 18645 ms
[2021-05-02 11:00:30	                main:581]	:	INFO	:	Epoch 24 | loss: 0.0310189 | val_loss: 0.0312622 | Time: 18617.4 ms
[2021-05-02 11:00:48	                main:581]	:	INFO	:	Epoch 25 | loss: 0.0310211 | val_loss: 0.0312558 | Time: 18696.9 ms
[2021-05-02 11:01:07	                main:581]	:	INFO	:	Epoch 26 | loss: 0.031026 | val_loss: 0.0312648 | Time: 19058.3 ms
[2021-05-02 11:01:26	                main:581]	:	INFO	:	Epoch 27 | loss: 0.0310137 | val_loss: 0.0312581 | Time: 18545.4 ms
[2021-05-02 11:01:45	                main:581]	:	INFO	:	Epoch 28 | loss: 0.0310159 | val_loss: 0.0312352 | Time: 18635 ms
[2021-05-02 11:02:03	                main:581]	:	INFO	:	Epoch 29 | loss: 0.0310186 | val_loss: 0.0312563 | Time: 18618.6 ms
[2021-05-02 11:02:22	                main:581]	:	INFO	:	Epoch 30 | loss: 0.031015 | val_loss: 0.0312631 | Time: 18630 ms
[2021-05-02 11:02:40	                main:581]	:	INFO	:	Epoch 31 | loss: 0.0310127 | val_loss: 0.0312462 | Time: 18616.7 ms
[2021-05-02 11:02:59	                main:581]	:	INFO	:	Epoch 32 | loss: 0.0310142 | val_loss: 0.0312727 | Time: 18644.8 ms
[2021-05-02 11:03:18	                main:581]	:	INFO	:	Epoch 33 | loss: 0.0310175 | val_loss: 0.0312327 | Time: 18887 ms
[2021-05-02 11:03:37	                main:581]	:	INFO	:	Epoch 34 | loss: 0.0310431 | val_loss: 0.0312455 | Time: 18651.8 ms
[2021-05-02 11:03:55	                main:581]	:	INFO	:	Epoch 35 | loss: 0.031024 | val_loss: 0.0312591 | Time: 18660 ms
[2021-05-02 11:04:14	                main:581]	:	INFO	:	Epoch 36 | loss: 0.0310149 | val_loss: 0.0312586 | Time: 18744.2 ms
[2021-05-02 11:04:33	                main:581]	:	INFO	:	Epoch 37 | loss: 0.0310112 | val_loss: 0.0312407 | Time: 18741.9 ms
[2021-05-02 11:04:53	                main:581]	:	INFO	:	Epoch 38 | loss: 0.0310218 | val_loss: 0.0312519 | Time: 20059.2 ms
[2021-05-02 11:05:14	                main:581]	:	INFO	:	Epoch 39 | loss: 0.0310175 | val_loss: 0.0312669 | Time: 20823 ms
[2021-05-02 11:05:34	                main:581]	:	INFO	:	Epoch 40 | loss: 0.0310132 | val_loss: 0.0312596 | Time: 20881.2 ms
[2021-05-02 11:05:55	                main:581]	:	INFO	:	Epoch 41 | loss: 0.0310166 | val_loss: 0.0312706 | Time: 20773.4 ms
[2021-05-02 11:06:16	                main:581]	:	INFO	:	Epoch 42 | loss: 0.0310105 | val_loss: 0.0312417 | Time: 20438.3 ms
[2021-05-02 11:06:36	                main:581]	:	INFO	:	Epoch 43 | loss: 0.0310182 | val_loss: 0.0312654 | Time: 20321.2 ms
[2021-05-02 11:06:57	                main:581]	:	INFO	:	Epoch 44 | loss: 0.0310228 | val_loss: 0.031248 | Time: 21034.5 ms
[2021-05-02 11:07:18	                main:581]	:	INFO	:	Epoch 45 | loss: 0.0310246 | val_loss: 0.0312656 | Time: 20486.8 ms
[2021-05-02 11:07:39	                main:581]	:	INFO	:	Epoch 46 | loss: 0.031015 | val_loss: 0.0312476 | Time: 21145.8 ms
[2021-05-02 11:08:00	                main:581]	:	INFO	:	Epoch 47 | loss: 0.0310164 | val_loss: 0.0312435 | Time: 20905.3 ms
[2021-05-02 11:08:20	                main:581]	:	INFO	:	Epoch 48 | loss: 0.0310318 | val_loss: 0.0312588 | Time: 20531 ms
[2021-05-02 11:08:41	                main:581]	:	INFO	:	Epoch 49 | loss: 0.0310376 | val_loss: 0.0312469 | Time: 20717.4 ms
[2021-05-02 11:09:01	                main:581]	:	INFO	:	Epoch 50 | loss: 0.031031 | val_loss: 0.0312325 | Time: 20604.9 ms
[2021-05-02 11:09:22	                main:581]	:	INFO	:	Epoch 51 | loss: 0.0310206 | val_loss: 0.0312629 | Time: 20801.7 ms
[2021-05-02 11:09:43	                main:581]	:	INFO	:	Epoch 52 | loss: 0.0310414 | val_loss: 0.0312348 | Time: 20575.9 ms
[2021-05-02 11:10:03	                main:581]	:	INFO	:	Epoch 53 | loss: 0.0310377 | val_loss: 0.0312667 | Time: 20584.3 ms
[2021-05-02 11:10:24	                main:581]	:	INFO	:	Epoch 54 | loss: 0.0310248 | val_loss: 0.0312396 | Time: 20216.6 ms
[2021-05-02 11:10:44	                main:581]	:	INFO	:	Epoch 55 | loss: 0.0310232 | val_loss: 0.0312612 | Time: 20835.1 ms
[2021-05-02 11:11:05	                main:581]	:	INFO	:	Epoch 56 | loss: 0.0310181 | val_loss: 0.0312761 | Time: 20593.6 ms
[2021-05-02 11:11:25	                main:581]	:	INFO	:	Epoch 57 | loss: 0.031007 | val_loss: 0.0312803 | Time: 20347.6 ms
[2021-05-02 11:11:46	                main:581]	:	INFO	:	Epoch 58 | loss: 0.031008 | val_loss: 0.0312707 | Time: 20359.6 ms
[2021-05-02 11:12:07	                main:581]	:	INFO	:	Epoch 59 | loss: 0.0310098 | val_loss: 0.0312585 | Time: 21521.8 ms
[2021-05-02 11:12:28	                main:581]	:	INFO	:	Epoch 60 | loss: 0.0310034 | val_loss: 0.0312629 | Time: 20957.1 ms
[2021-05-02 11:12:49	                main:581]	:	INFO	:	Epoch 61 | loss: 0.0310153 | val_loss: 0.0312673 | Time: 20976.3 ms
[2021-05-02 11:13:10	                main:581]	:	INFO	:	Epoch 62 | loss: 0.0310085 | val_loss: 0.0312577 | Time: 20890.4 ms
[2021-05-02 11:13:31	                main:581]	:	INFO	:	Epoch 63 | loss: 0.0310111 | val_loss: 0.0312741 | Time: 20629.1 ms
[2021-05-02 11:13:51	                main:581]	:	INFO	:	Epoch 64 | loss: 0.0310132 | val_loss: 0.0312508 | Time: 20558.5 ms
[2021-05-02 11:14:12	                main:581]	:	INFO	:	Epoch 65 | loss: 0.0310102 | val_loss: 0.0312594 | Time: 20765.9 ms
[2021-05-02 11:14:33	                main:581]	:	INFO	:	Epoch 66 | loss: 0.0310104 | val_loss: 0.0312552 | Time: 20810.7 ms
[2021-05-02 11:14:54	                main:581]	:	INFO	:	Epoch 67 | loss: 0.0310038 | val_loss: 0.0312666 | Time: 20710.5 ms
[2021-05-02 11:15:14	                main:581]	:	INFO	:	Epoch 68 | loss: 0.0309979 | val_loss: 0.0312669 | Time: 20701.5 ms
[2021-05-02 11:15:35	                main:581]	:	INFO	:	Epoch 69 | loss: 0.0310045 | val_loss: 0.0312924 | Time: 20505.5 ms
[2021-05-02 11:15:55	                main:581]	:	INFO	:	Epoch 70 | loss: 0.0310049 | val_loss: 0.0312725 | Time: 20531.2 ms
[2021-05-02 11:16:16	                main:581]	:	INFO	:	Epoch 71 | loss: 0.0310118 | val_loss: 0.0312573 | Time: 20432.3 ms
[2021-05-02 11:16:36	                main:581]	:	INFO	:	Epoch 72 | loss: 0.0310178 | val_loss: 0.0312618 | Time: 20416.4 ms
[2021-05-02 11:16:57	                main:581]	:	INFO	:	Epoch 73 | loss: 0.0310165 | val_loss: 0.0312999 | Time: 20639 ms
[2021-05-02 11:17:18	                main:581]	:	INFO	:	Epoch 74 | loss: 0.0310199 | val_loss: 0.0312657 | Time: 20813.4 ms
[2021-05-02 11:17:38	                main:581]	:	INFO	:	Epoch 75 | loss: 0.0310144 | val_loss: 0.0312634 | Time: 20505.9 ms
[2021-05-02 11:17:59	                main:581]	:	INFO	:	Epoch 76 | loss: 0.031015 | val_loss: 0.0312742 | Time: 20664.7 ms
[2021-05-02 11:18:20	                main:581]	:	INFO	:	Epoch 77 | loss: 0.0310088 | val_loss: 0.0312681 | Time: 20884.9 ms
[2021-05-02 11:18:40	                main:581]	:	INFO	:	Epoch 78 | loss: 0.031005 | val_loss: 0.031265 | Time: 20315.6 ms
[2021-05-02 11:19:01	                main:581]	:	INFO	:	Epoch 79 | loss: 0.0310094 | val_loss: 0.0312344 | Time: 20910.4 ms
[2021-05-02 11:19:21	                main:581]	:	INFO	:	Epoch 80 | loss: 0.0310046 | val_loss: 0.0312983 | Time: 20520.4 ms
[2021-05-02 11:19:42	                main:581]	:	INFO	:	Epoch 81 | loss: 0.0310029 | val_loss: 0.0312774 | Time: 20586.3 ms
[2021-05-02 11:20:03	                main:581]	:	INFO	:	Epoch 82 | loss: 0.0309989 | val_loss: 0.0312754 | Time: 20783.3 ms
[2021-05-02 11:20:23	                main:581]	:	INFO	:	Epoch 83 | loss: 0.0310066 | val_loss: 0.0312496 | Time: 20705.1 ms
[2021-05-02 11:20:44	                main:581]	:	INFO	:	Epoch 84 | loss: 0.0310226 | val_loss: 0.0312384 | Time: 20646 ms
[2021-05-02 11:21:05	                main:581]	:	INFO	:	Epoch 85 | loss: 0.0310362 | val_loss: 0.0312685 | Time: 20664.8 ms
[2021-05-02 11:21:25	                main:581]	:	INFO	:	Epoch 86 | loss: 0.031025 | val_loss: 0.0312525 | Time: 20545.5 ms
[2021-05-02 11:21:46	                main:581]	:	INFO	:	Epoch 87 | loss: 0.0310116 | val_loss: 0.0312355 | Time: 20733.4 ms
[2021-05-02 11:22:07	                main:581]	:	INFO	:	Epoch 88 | loss: 0.0310086 | val_loss: 0.0312558 | Time: 20643.2 ms
[2021-05-02 11:22:28	                main:581]	:	INFO	:	Epoch 89 | loss: 0.0310086 | val_loss: 0.0312777 | Time: 20792.8 ms
[2021-05-02 11:22:49	                main:581]	:	INFO	:	Epoch 90 | loss: 0.0310093 | val_loss: 0.0312739 | Time: 21091.7 ms
[2021-05-02 11:23:09	                main:581]	:	INFO	:	Epoch 91 | loss: 0.0310036 | val_loss: 0.0312369 | Time: 20870 ms
[2021-05-02 11:23:31	                main:581]	:	INFO	:	Epoch 92 | loss: 0.0310105 | val_loss: 0.0312604 | Time: 21152.1 ms
[2021-05-02 11:23:51	                main:581]	:	INFO	:	Epoch 93 | loss: 0.0310058 | val_loss: 0.0312545 | Time: 20407.5 ms
[2021-05-02 11:24:11	                main:581]	:	INFO	:	Epoch 94 | loss: 0.0310175 | val_loss: 0.0312332 | Time: 20325.3 ms
[2021-05-02 11:24:32	                main:581]	:	INFO	:	Epoch 95 | loss: 0.0310487 | val_loss: 0.0312732 | Time: 20502.8 ms
[2021-05-02 11:24:53	                main:581]	:	INFO	:	Epoch 96 | loss: 0.0310415 | val_loss: 0.0312225 | Time: 20818.6 ms
[2021-05-02 11:25:13	                main:581]	:	INFO	:	Epoch 97 | loss: 0.031027 | val_loss: 0.0312458 | Time: 20568.7 ms
[2021-05-02 11:25:34	                main:581]	:	INFO	:	Epoch 98 | loss: 0.0310167 | val_loss: 0.0312514 | Time: 20487.8 ms
[2021-05-02 11:25:55	                main:581]	:	INFO	:	Epoch 99 | loss: 0.0310163 | val_loss: 0.031263 | Time: 21001 ms
[2021-05-02 11:26:16	                main:581]	:	INFO	:	Epoch 100 | loss: 0.0310162 | val_loss: 0.0312518 | Time: 20775.9 ms
[2021-05-02 11:26:36	                main:581]	:	INFO	:	Epoch 101 | loss: 0.0310104 | val_loss: 0.0312651 | Time: 20436.7 ms
[2021-05-02 11:26:57	                main:581]	:	INFO	:	Epoch 102 | loss: 0.0310134 | val_loss: 0.031271 | Time: 20647.5 ms
[2021-05-02 11:27:17	                main:581]	:	INFO	:	Epoch 103 | loss: 0.0310112 | val_loss: 0.0312782 | Time: 20858.2 ms
[2021-05-02 11:27:38	                main:581]	:	INFO	:	Epoch 104 | loss: 0.0310135 | val_loss: 0.0312838 | Time: 20478.3 ms
[2021-05-02 11:27:59	                main:581]	:	INFO	:	Epoch 105 | loss: 0.0310225 | val_loss: 0.0312488 | Time: 21256.8 ms
[2021-05-02 11:28:20	                main:581]	:	INFO	:	Epoch 106 | loss: 0.0310272 | val_loss: 0.0312609 | Time: 20669.4 ms
[2021-05-02 11:28:41	                main:581]	:	INFO	:	Epoch 107 | loss: 0.0310198 | val_loss: 0.0312566 | Time: 20888.1 ms
[2021-05-02 11:29:01	                main:581]	:	INFO	:	Epoch 108 | loss: 0.0310215 | val_loss: 0.0312532 | Time: 20448 ms
[2021-05-02 11:29:22	                main:581]	:	INFO	:	Epoch 109 | loss: 0.0310173 | val_loss: 0.0312747 | Time: 20815.5 ms
[2021-05-02 11:29:43	                main:581]	:	INFO	:	Epoch 110 | loss: 0.0310167 | val_loss: 0.0312542 | Time: 21118.8 ms
[2021-05-02 11:30:04	                main:581]	:	INFO	:	Epoch 111 | loss: 0.0310306 | val_loss: 0.0312705 | Time: 20694.6 ms
[2021-05-02 11:30:24	                main:581]	:	INFO	:	Epoch 112 | loss: 0.0310288 | val_loss: 0.0312368 | Time: 20424.2 ms
[2021-05-02 11:30:45	                main:581]	:	INFO	:	Epoch 113 | loss: 0.0310343 | val_loss: 0.0312476 | Time: 20407.5 ms
[2021-05-02 11:31:05	                main:581]	:	INFO	:	Epoch 114 | loss: 0.0310269 | val_loss: 0.0312408 | Time: 20735.1 ms
[2021-05-02 11:31:27	                main:581]	:	INFO	:	Epoch 115 | loss: 0.0310123 | val_loss: 0.0312635 | Time: 21151.5 ms
[2021-05-02 11:31:47	                main:581]	:	INFO	:	Epoch 116 | loss: 0.0310132 | val_loss: 0.0312723 | Time: 20553.9 ms
[2021-05-02 11:32:08	                main:581]	:	INFO	:	Epoch 117 | loss: 0.0310071 | val_loss: 0.0312518 | Time: 20988.6 ms
[2021-05-02 11:32:29	                main:581]	:	INFO	:	Epoch 118 | loss: 0.0310117 | val_loss: 0.0312556 | Time: 20685 ms
[2021-05-02 11:32:50	                main:581]	:	INFO	:	Epoch 119 | loss: 0.0310115 | val_loss: 0.0312639 | Time: 20884.8 ms
[2021-05-02 11:33:10	                main:581]	:	INFO	:	Epoch 120 | loss: 0.0310068 | val_loss: 0.0312604 | Time: 20353.2 ms
[2021-05-02 11:33:31	                main:581]	:	INFO	:	Epoch 121 | loss: 0.0310173 | val_loss: 0.0312552 | Time: 20701.7 ms
[2021-05-02 11:33:51	                main:581]	:	INFO	:	Epoch 122 | loss: 0.0310324 | val_loss: 0.0312741 | Time: 20620.4 ms
[2021-05-02 11:34:12	                main:581]	:	INFO	:	Epoch 123 | loss: 0.0310181 | val_loss: 0.0312547 | Time: 20958.4 ms
[2021-05-02 11:34:33	                main:581]	:	INFO	:	Epoch 124 | loss: 0.0310137 | val_loss: 0.031253 | Time: 20563.6 ms
[2021-05-02 11:34:54	                main:581]	:	INFO	:	Epoch 125 | loss: 0.0310211 | val_loss: 0.0312449 | Time: 20977.9 ms
[2021-05-02 11:35:14	                main:581]	:	INFO	:	Epoch 126 | loss: 0.0310103 | val_loss: 0.0312451 | Time: 20626.8 ms
[2021-05-02 11:35:35	                main:581]	:	INFO	:	Epoch 127 | loss: 0.0310123 | val_loss: 0.0312842 | Time: 20851.3 ms
[2021-05-02 11:35:56	                main:581]	:	INFO	:	Epoch 128 | loss: 0.031006 | val_loss: 0.0312559 | Time: 20438.7 ms
[2021-05-02 11:35:56	                main:604]	:	INFO	:	Saving trained model to model-final.pt, val_loss 0.0312559
[2021-05-02 11:35:56	                main:610]	:	INFO	:	Saving end state to config to file
[2021-05-02 11:35:56	                main:615]	:	INFO	:	Success, exiting..
11:35:56 (3399732): called boinc_finish(0)

</stderr_txt>
]]>


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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)